Un mod\`ele pour la repr\'esentation des connaissances temporelles dans les documents historiques

TL;DR

This paper introduces a model for representing temporal knowledge in historical documents using RDF graphs, enabling reasoning and aiding historians in digitizing and analyzing manuscripts.

Contribution

The paper presents a novel RDF-based temporal knowledge model tailored for historical documents, facilitating reasoning with SWRL and SPARQL.

Findings

Model effectively represents temporal aspects in historical data

Enables reasoning over temporal knowledge using SWRL and SPARQL

Applied in a project digitizing Saussure's manuscripts

Abstract

Processing and publishing the data of the historical sciences in the semantic web is an interesting challenge in which the representation of temporal aspects plays a key role. We propose in this paper a model of temporal knowledge representation adapted to work on historical documents. This model is based on the notion of fluent that is represented in RDF graphs. We show how this model allows to represent the knowledge necessary to the historians and how it can be used to reason on this knowledge using the SWRL and SPARQL languages. This model is being used in a project to digitize, study and publish the manuscripts of linguist Ferdinand de Saussure.